Product Data Scientist (Customer-facing) at SimilarWeb

<p>At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.&nbsp;</p> <p>Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, Meta, OpenAI, to make game-changing decisions that drive their digital strategies.</p> <p>In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.</p> <p>We’re looking for a sharp and driven Product Data Scientist to join our fast - paced Data Labs team.</p> <p>As part of a high-performing group of analysts, you’ll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights.&nbsp;<br>The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure.&nbsp;<br>You’ll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.</p> <p><strong>What does the day-to-day of a Product Data Science Customer Facing (Data Labs) at Similarweb look like:</strong></p> <ul> <li>Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.</li> <li>Apply your expertise in quantitative analysis and data mining to turn data into insights.</li> <li>Conduct research and develop tools that will help answer clients’ business questions by using Similarweb’s raw data sets and algorithms.</li> <li>Partner with Engineering teams to establish an infrastructure to scale solutions.</li> <li>Partner with the Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly</li> </ul> <p><strong>This is the perfect job for someone who has:</strong></p> <ul> <li>Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience).</li> <li>3+ years of experience as a Product Data Scientist, Solutions Engineer, or in a similar analytical role.</li> <li>Strong proficiency in SQL and Python.</li> <li>Demonstrated experience solving complex analytical problems using quantitative and statistical approaches.</li> <li>&nbsp;Experience working in customer-facing environments, including: Collaborating with a wide range of stakeholders - including Engineers, Sales, and customer-facing teams - to scope problems, align on requirements, and deliver data-driven- solutions that meet customer and business needs.</li> <li>Proven experience owning enterprise customer engagements end-to-end, including feasibility evaluation, solution design, implementation, and ongoing delivery of data-driven insights.</li> <li>&nbsp;Excellent communication skills in English, with the ability to present insights clearly and influence both technical and non-technical audiences.</li> <li>Proven ability to independently lead and own analytical initiatives end-to-end in ambiguous, fast-paced environments.</li> <li>Master's Degree in a quantitative field - Big Advantage.</li> </ul><div class="content-conclusion"><p>We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available <a href="https://www.similarweb.com/corp/legal/applicant-privacy-policies/" target="_blank">here</a>.</p></div>